Hybrid Score Explain Output's Structure Diverges from Docs

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I did set up OS 3.0.0 docker on another system with the same data and now I get the structure I actually expected. I have no idea why …

"_explanation": {
          "value": 0.73567706,
          "description": "arithmetic_mean, weights [0.7, 0.3] combination of:",
          "details": [
            {
              "value": 0.81662357,
              "description": "min_max normalization of:",
              "details": [
                {
                  "value": 0.69145346,
                  "description": "within top 100 docs",
                  "details": []
                }
              ]
            },
            {
              "value": 0.54727983,
              "description": "min_max normalization of:",
              "details": [
                {
                  "value": 3.0499675,
                  "description": "weight(name:wind in 1221) [PerFieldSimilarity], result of:",
                  "details": [
                    {
                      "value": 3.0499675,
                      "description": "score(freq=2.0), computed as boost * idf * tf from:",
                      "details": [
                        {
                          "value": 6.5695195,
                          "description": "idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
                          "details": [
                            {
                              "value": 18,
                              "description": "n, number of documents containing term",
                              "details": []
                            },
                            {
                              "value": 13190,
                              "description": "N, total number of documents with field",
                              "details": []
                            }
                          ]
                        },
                        {
                          "value": 0.46426034,
                          "description": "tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
                          "details": [
                            {
                              "value": 2,
                              "description": "freq, occurrences of term within document",
                              "details": []
                            },
                            {
                              "value": 1.2,
                              "description": "k1, term saturation parameter",
                              "details": []
                            },
                            {
                              "value": 0.75,
                              "description": "b, length normalization parameter",
                              "details": []
                            },
                            {
                              "value": 15,
                              "description": "dl, length of field",
                              "details": []
                            },
                            {
                              "value": 6.723351,
                              "description": "avgdl, average length of field",
                              "details": []
                            }
                          ]
                        }
                      ]
                    }
                  ]
                }
              ]
            }
          ]
        }

Combined score: 0.81662357 * 0.7 + 0.54727983 * 0.3
However, shouldn’t the combined score be half of 0.73567706 (divided by 2)?

Hybrid Query Explanation: Only a single min_max_normalization block